Qualifications

• BS/MS in Computer Science, Engineering, Mathematics, or related field.
• Over 2 years of experience in Data Engineering.
• Proven expertise in designing and managing ETL infrastructure in a live setting.
• Experience with large, complex datasets.
• In-depth SQL knowledge and proficiency in at least one programming language (Python, Java, Ruby, etc.).
• Familiarity with version control systems like Git.
• Strong analytical and problem-solving skills, with great attention to detail.

Responsibilities

• Manage and purify intricate datasets using SQL and Python.
• Transfer client data to the platform in line with service level agreements.
• Implement data quality assurance during the ETL process.
• Engineer and maintain scalable data pipelines for healthcare analysis.
• Collaborate with data analysts to understand needs and develop solutions.
• Improve efficiency of existing data pipelines and systems.
• Integrate data from various sources in partnership with different teams.

Benefits

• Exceptional health, dental, and vision insurance and a 401K plan.
• Mission-driven culture focused on improving patient care and addressing complex challenges.
• Encourages idea meritocracy where questioning the status quo is welcomed.
• Flexible time-off policy allowing self-managed vacation based on workload.
• Access to a world-class team with a commitment to employee development.
• Opportunity to be part of a rapidly growing platform aiming to enhance patient outcomes.